scholarly journals AI Democratization in Optometry: Developing a Prototype with Azure Cognitive Services Platform

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Shaun Baek ◽  
Ryan Johnson ◽  
Claire Saunders ◽  
Debora Lee Chen ◽  
Katherine Lai
Keyword(s):  
Diagnostic System ◽  
Eye Diseases ◽  
Medical Professionals ◽  
Medical Systems ◽  
Medical Field ◽  
Cognitive Services ◽  
Care Field ◽  
Computer Knowledge ◽  
Complex Technology ◽  
Close Cooperation

As Artificial Intelligence (AI) technology advances, it is used in almost every aspect of our lives. However, AI is still complicated to implement without help from computer engineers. In the health care field, knowledge of medical and computer knowledge is necessary to create AI-based medical systems. Close cooperation between medical experts and computer experts is essential. For this reason, even if there has been a continuous effort to apply AI into the medical field, it has yet to be universalized. In particular, in the field of optometry and ophthalmology, more complex technology is required than in other medical fields because it is necessary to analyze an eye image to diagnose a disease. Therefore, this study explores the possibility for medical professionals with little computer knowledge in the field of ophthalmology to develop an AI-based diagnostic system without the help of computer engineers. In addition, it explores not only the possibilities but also the diagnostic accuracy of the developed system. Our results show that the diagnostic system discriminates against five common eye diseases to some extent. This study explores whether AI democratization is possible even in the field of ophthalmology that requires advanced skills and knowledge.

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

2020 ◽  
Author(s):  
Weihua Yang ◽  
Bo Zheng ◽  
Maonian Wu ◽  
Shaojun Zhu ◽  
Hongxia Zhou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Ethics ◽  
Online Survey ◽  
Medical Professionals ◽  
Medical Field ◽  
Acceptance Level ◽  
Professional Workers ◽  
Basic Understanding ◽  
Comparative Survey ◽  
Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

Wrist Wearable Physiological Signal Detection Equipment with Biochemical Materials

2012 ◽  
Vol 459 ◽  
pp. 293-297 ◽  
Author(s):  
Xing Chen ◽  
Hong Lun Hou ◽  
Ming Hui Wu ◽  
Mei Mei Huo
Keyword(s):  
Health Care ◽  
Oxygen Saturation ◽  
Signal Detection ◽  
Human Body ◽  
Family Health ◽  
Medical Field ◽  
Physiological Signal ◽  
Potential Value ◽  
Care Field ◽  
Physiological Information

This paper designed a wrist Device which can detect physiological information and save the information data. The information got by device is including Oxygen saturation of blood, Pulse rate and steps. And the device even can distinguish the state of human body between fall and normal activities with 3-axis accelerometer. The equipment designed for family health care and remote healthy care field. The operation of device is so easy to be mastered that the device might have a potential value for the future medical field

Technologizing and Digitalizing of Medical Professional Skills for a Non-Invasive Ultrasound Theragnostic System

2012 ◽  
Author(s):  
Norihiro Koizumi ◽  
Deukhee Lee ◽  
Joonho Seo ◽  
Takakazu Funamoto ◽  
Naohiko Sugita ◽  
...  
Keyword(s):  
High Precision ◽  
Medical Professional ◽  
Industrial Robots ◽  
Medical Professionals ◽  
Medical Field ◽  
Professional Skills ◽  
Medical Robots ◽  
Non Invasive ◽  
Human Skills ◽  
Robot Technology

Information and robot technology (IRT) is drawing increasing attention in the technologizing and digitalizing of medical professional skills. In fields such as manufacturing, high-precision tasks, not possible with human, skills have been already realized by industrial robots. The medical field thus expected to advance with progress in the development of medical robots able to provide diagnosis and therapy that are much more precise than those of conventional medical professionals.

PARTNERSHIPS WITH PATIENTS: THE CONCEPT OF SHARED CARE IN CLINICAL PRACTICE OF CARDIOLOGISTS

Vestnik ◽  
2021 ◽  
pp. 93-96
Author(s):  
С.Ж. Уразалина
Keyword(s):  
Medical Education ◽  
Clinical Practice ◽  
Training Programs ◽  
Shared Care ◽  
Medical Professionals ◽  
Old Patients ◽  
Joint Management ◽  
Treatment Plans ◽  
Close Cooperation ◽  
Education Conference

Целью данной статьи являлось ознакомить кардиологическое сообщество страны с результатами работы ESC Education Conference (2020), которая была посвящена обсуждению проблем и возможности интеграции участия пациентов в совместном ведении их с врачами. ESC создан специальный форум по вовлечению уже пролеченных «старых» пациентов в программу совместного ведения «новых» пациентов, а также привлечению их в программы образования и науки. Конференция подтвердила единодушие участников в том, что интеграция пациентов в разработку их диагностических и лечебных планов требует выделения большего количества времени для обучения пациентов во время каждой встречи, а также сделала акцент о необходимости введения в учебные программы разделов по обучению медицинских работников совместному ведению. Вывод: Таким образом, концепция тесного сотрудничества пациентов и медицинских работников предоставляет огромную возможность для развития программы совместного ведения больных в области медицинского образования. The aim of article was to familiarize the cardiology community of the country with the results of the ESC Education Conference (2020), which was devoted to discussing the problems and the possibility of integrating patient participation in joint management with doctors. ESC created a special forum for the involvement of already treated "old" patients in the program of shared care of "new" patients, as well as their involvement in education and science programs. The Conference confirmed the consensus of the participants that the patients integration in the development of their diagnostic and treatment plans requires more time to train patients during each meeting, and also emphasized the need to introduce sections on training programs of medical professionals in the field of enabling shared care. Conclusion: Thus, the concept of close cooperation between patients and medical professionals provides a huge opportunity for the development of an enabling shared care in medical education.

scholarly journals Machine Learning in Medical Imaging for Early Detection of Skin Diseases.

2020 ◽  
Vol 9 (6) ◽  
pp. 513-516
Keyword(s):  
Machine Learning ◽  
Medical Imaging ◽  
Early Detection ◽  
Skin Diseases ◽  
Early Stage ◽  
Medical Science ◽  
Diagnostic System ◽  
Skin Disorders ◽  
Medical Field ◽  
Computer Aided

Dermatology is a medical field that treats skin health and diseases. These skin diseases are perilous and often transmittable but can be cured or reversed with higher degree if detected at an early stage. Early detection and treatment can correct most skin disorders. Diagnosis of these diseases requires a sophisticated of proficiency due to the variety of their illustration aspects. As manual conclusion are often skewed and hardly reproducible, to achieve a more intent and undependable diagnosis, a computer aided diagnostic system should be considered. This work is to provide a comparative view of advancements the works as a robust literature of with techniques, methodology, experimented results and dataset done in medical science using medical images to predict diseases with early detection and higher accuracy .

Negotiating Professionalism, Economics and Moral Obligation: An Appeal for Ethnographic Approaches to African Medical Migration

2010 ◽  
Vol 3 (2) ◽  
pp. 237-254 ◽  
Author(s):  
Noelle C. Sullivan ◽  
Hansjörg Dilger ◽  
David Garcia
Keyword(s):  
North America ◽  
Moral Obligation ◽  
Medical Professionals ◽  
Ethnographic Research ◽  
Personal Goals ◽  
Critical Importance ◽  
Medical Systems ◽  
Medical Migration ◽  
Ethnographic Interviews ◽  
Economic Perspectives

Abstract This article provides a preliminary framework of useful methodologies and topics for future ethnographic research on medical migration from Africa to North America. We argue that medical professionals’ migrations must be understood in terms of their multiple struggles for meaning as they negotiate their professional and personal preferences in light of their desires to help rebuild ailing medical systems in their countries of origin. Our ethnographic interviews suggest that networks and family have been of critical importance to medical mobility, as well as providing a potential means of continued involvement in philanthropic investments in their countries of origin. Ultimately, we argue that economic perspectives on medical migration are insufficient, and leave out the complexities of balancing professionalism, personal goals and moral obligation to the country of origin.

Fuzzy Logic in Medicine

2011 ◽  
pp. 2306-2312
Author(s):  
Michelle LaBrunda ◽  
Andrew LaBrunda
Keyword(s):  
Fuzzy Logic ◽  
Diagnosis And Treatment ◽  
Medical Professionals ◽  
Medical Field

This article explores the use of fuzzy logic in the medical field. While giving a comparison of classic and fuzzy logic we present the various uses of the applications made possible by fuzzy logic, focusing on diagnosis and treatment. The ever evolving technology making the line between medicine and technology thinner every year, is helping to make the treatment of disease and the mending of injury easier for medical professionals. We also propose several questions that arise from, and may by answered by, fuzzy logic and its applications.

The Art of Sowing

2016 ◽  
Vol 11 (1-2) ◽  
pp. 237-255
Author(s):  
Eunkyung Yoon
Keyword(s):  
The Body ◽  
Medical Professionals ◽  
Medical Systems ◽  
Medical Texts ◽  
Korean Medicine ◽  
Metaphorical Thinking ◽  
Medical Practitioners ◽  
The One ◽  
Bodily State

This report illustrates how the condition of infertility and its remedy in Korean Medicine is likened to the art of sowing, and how Korean medical professionals and their patients navigate their way against a backdrop of a dominantly biomedical scene. In South Korea, where both biomedicine and Korean Medicine are recognised as legitimate medical systems, a medically defined condition creates a crossroads where different epistemologies conflict and intermingle. While biomedicine perceives infertility as an absence or impairment of fertility, where the ability to become pregnant is immutable, Korean Medicine views it as something that could change according to conditions of bodily elements, and thus can be improved through shifting the bodily state. Factors involved in pregnancy are described metaphorically in the medical texts as the man as seed and the woman as earth. The doctor is described as playing the role of the farmer. This way of metaphorical thinking of infertility leads to a different assessment of what the problem is, and to different approaches in treatment. These differences can be seen in the interviews of Korean medical professionals that are the foundation of this practice report. The illustrations in this report show how practice can differ according to epistemology in the case of infertility, where on the one hand, the state of the art biomedical techniques for treatment remove the pregnancy process from the body by replacing its roles in the lab, while on the other hand, Korean medical practitioners consider fertility to be reflexive to the individual’s bodily state and deal with it on the more elementary level of the patient’s body.

scholarly journals Alternate routes for the transfer of emergency health information

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Noramay McGruer
Keyword(s):  
Social Media ◽  
Health Information ◽  
Peer Collaboration ◽  
Medical Professionals ◽  
Potential Utility ◽  
Medical Field ◽  
Related Information ◽  
Health Related ◽  
Information Professionals ◽  
Alternate Routes

Social media have created new ways for non-professionals to access, share, and even create health related information. While these new resources have been noted to destabilize the authority held by medical professionals, they also highlight the potential utility in the medical field of non-professinoal peer collaboration and support. In light of this evolution, the roles of health information professionals have expanded to assisting users in evaluating information from an ever-increasing variety of sources, as well as providing information themselves. The conclusion calls for further research into the opportunities afforded by peer-generated and -communicated contributions to health information.

scholarly journals The Socio-Cultural Factors on Health and Illness - A Study

2021 ◽  
Vol 9 (11) ◽  
pp. 39-43
Author(s):  
Dr. Vinay. K. U.
Keyword(s):  
Mental Illness ◽  
Patient Education ◽  
Health Beliefs ◽  
Medical Profession ◽  
Cultural Factors ◽  
Cultural Relevance ◽  
Medical Professionals ◽  
Medical Field ◽  
Health And Illness ◽  
Willingness To Use

Abstract: Our culture, not our biology, dictates which illnesses are stigmatized and which are not, which are considered disabilities and which are not, and which are deemed contestable meaning some medical professionals may find the existence of this ailment questionable as opposed to definitive illnesses that are unquestionably recognized in the medical profession in the medical field. The stigmatization of illness often has the greatest effect on the patient and the kind of care they receive. Many contend that our society and even our healthcare institutions discriminate against certain diseases like mental disorders, AIDS, venereal diseases, and skin disorders. All cultures have systems of health beliefs to explain what causes illness, how it can be cured or treated, and who should be involved in the process. The extent to which patients perceive patient education as having cultural relevance for them can have a profound effect on their reception to information provided and their willingness to use it. In Vietnamese culture, mystical beliefs explain physical and mental illness. Health is viewed as the result of a harmonious balance between the poles of hot and cold that govern bodily functions. Keywords: Life Style, Health, Education, Income, Occupation, Tradition, Beliefs. Illeness.

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